Evolutionary multi-objective multi-agent deep reinforcement learning for sustainable maintenance scheduling

Authors

Jérémy Robert
Alexandre Voisin (ORCID: https://orcid.org/0000-0002-4637-6826)
Yves Le Traon (ORCID: https://orcid.org/0000-0002-1045-4861)
Sylvain Kubler (ORCID: https://orcid.org/0000-0001-7672-7837)
Marcelo Luis Ruiz-Rodríguez (ORCID: https://orcid.org/0000-0003-1902-0100)

Institutions

Pôle de Recherche pour l'Organisation et la Diffusion de l'Information Géographique (FR)
Centre de Recherche en Automatique de Nancy (FR)
Institute of Peruvian Studies (PE)
Institut de Recherche pour le Développement (FR)
Pontificia Universidad Católica del Perú (PE)
Université de Lorraine (FR)

Publication Details

Journal: Engineering Applications of Artificial Intelligence
Published: 2025-05-26
DOI: https://doi.org/10.1016/j.engappai.2025.111126
Citations: 3
Primary Topic: Reliability and Maintenance Optimization
Type: article
Field-Weighted Citation Impact: 3.91

Funders

Fonds National de la Recherche Luxembourg

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Evolutionary multi-objective multi-agent deep reinforcement learning for sustainable maintenance scheduling

Jérémy Robert, Alexandre Voisin, Yves Le Traon, Sylvain Kubler et al.

May 26, 2025

3 citations

Engineering Applications of Artificial Intelligence

Reliability and Maintenance Optimization

3.91

article

Evolutionary multi-objective multi-agent deep reinforcement learning for sustainable maintenance scheduling

Jérémy Robert, Alexandre Voisin, Yves Le Traon, Sylvain Kubler, Marcelo Luis Ruiz-Rodríguez

May 26, 2025article en

3 citations

Abstract

No abstract available for this paper.

Engineering Applications of Artificial IntelligenceVol. 156

Pôle de Recherche pour l'Organisation et la Diffusion de l'Information Géographique (FR), Centre de Recherche en Automatique de Nancy (FR), Institute of Peruvian Studies (PE), Institut de Recherche pour le Développement (FR), Pontificia Universidad Católica del Perú (PE), Université de Lorraine (FR)

Fonds National de la Recherche Luxembourg

Openalex Percentile: Top 7%

Reliability and Maintenance Optimization

3.91

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Evolutionary multi-objective multi-agent deep reinforcement learning for sustainable maintenance scheduling — Jérémy Robert, Alexandre Voisin, et al. · Engineering Applications of Artificial Intelligence (2025) | TGRS Research Map | TGRS